%0 Journal Article
%T Maximum Likelihood Frequency Domain Correction Super-resolution Algorithm for Passive Millimeter Wave Imaging<br>无源毫米波成像最大似然频域校正超分辨算法
%A ZHENG Xin YANG Jian-Yu LI Liang-Chao School of Electronic
%A Engineering
%A University of Electronic Science
%A Technology of China
%A Chengdu
%A <br>郑鑫
%A 杨建宇
%A 李良超
%J 自动化学报
%D 2009
%I 
%X The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating some efficient post-processing to achieve resolution improvements. A maximum likelihood (ML) super-resolution algorithm based on frequency domain correction is proposed. First, we employ Wiener filter to restore passband spectrum, then we implement Richardson-Lucy algorithm to complete spectral extrapolation, lastly we implement a spatial spectrum correction algorithm in which the calculated spectrum within the passband is replaced by the low frequency component restored by Wiener filter. Experimental results demonstrate the algorithm improves the convergent rate and enhances the resolution and reduces the ringing effects which are caused by regularizing the image restoration problem. Furthermore, the algorithm is easily implemented for passive millimeter wave imaging.
%K Passive millimeter wave (PMMW) imaging
%K super-resolution
%K maximum likelihood (ML)
%K image restoration
%K spectral extrapolation
%K Wiener filter<br>无源毫米波成像
%K 超分辨
%K 最大似然
%K 图像恢复
%K 频谱外推
%K 维纳滤波器
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=7D4F796A95B0F2F32FFB5C3580A85D0B&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=CA4FD0336C81A37A&sid=D3E34374A0D77D7F&eid=27746BCEEE58E9DC&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=18